000			03101nam a22003137a 4500
003			OSt
005			20260408091319.0
008			260408b |||||||| |||| 00| 0 eng d
020			_a9781779565259 [binded]
040			_aUniversity of Cebu-School of Medicine _cUniversity of Cebu-School of Medicine
100			_aTarasov, Yevhen, _eauthor.
245			_aBiostatistics in health / _cYevhen Tarasov.
260			_aCanada : _bAllied Health Press, _cc2025.
300			_axii, 323 pages : _bcolored illustrations ;
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
504			_aIncludes index.
505	0		_aChapter 1 Introduction biostatistics in health — Chapter 2 Quantifying the extent of disease — Chapter 3 Summarizing data collected in the sample — Chapter 4 Basic probability — Chapter 5 Confidence interval estimates — Chapter 6 Hypothesis testing procedures — Chapter 7 Power and sample size determination — Chapter 8 Multivariable methods — Chapter 9 Nonparametric tests — Chapter 10 Survival analysis and data visualization.
520			_a"Every year, substantial public and private funding is allocated to research, heavily relying on accurate methodology definition, data analysis, and result interpretation. The current era is characterized by "big data." which refers to enormous datasets from government databases and large healthcare entities using new algorithms and powerful computers. This process requires access to healthcare services is the use of artificial intelligence (AI). This solution has a wide range of applications, including detecting diseases such as COVID-19 and issuing diagnostic reports. The use of artificial intelligence by healthcare providers also includes the decision-making process regarding surgical procedures, the auditing of medical bills, and the identification of individuals who should be included in chronic patient programs or require closer monitoring. The overarching goal of these applications is to improve services. Because of these developments, it is more important than ever to alter people's perceptions of biostatistics from the beginning of their educational experience. Biostatistics has occasionally been subjected to a negative reputation, educational experience. Biostatistics has occasionally been subjected to a negative reputation, which can be partially attributed to the absence of engaging instructional strategies. Even though there have been efforts made to improve statistical education at the primary and secondary levels, there has been a recent surge in the number of studies that address this issue in higher education. Students in healthcare-related fields have been the focus of recent efforts to develop techniques and tools that are engaging for them." —Preface
521			_aAdult
541			_xMontoya, Ma. Melfer _ySchool of Medicine _zMedical Technology
546			_aText in English
650			_aBiostatistics.
650			_aHealth.
942			_2ddc _cBK
998			_cGian [new] _d04/08/2026
999			_c15118 _d15118